Abstract
The DORIS project (Dialogue Oriented Roaming Interactive System) aims to develop a spoken dialogue module for an autonomous robotic agent. This paper examines the techniques used by Scusi?, the speech interpretation component of DORIS, to postulate and assess hypotheses regarding the meaning of a spoken utterance. The results of our evaluation are encouraging, yielding good interpretation performance for utterances of different types and lengths.
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Niemann, M., Zukerman, I., Makalic, E., George, S. (2007). Hypothesis Generation and Maintenance in the Interpretation of Spoken Utterances. In: Orgun, M.A., Thornton, J. (eds) AI 2007: Advances in Artificial Intelligence. AI 2007. Lecture Notes in Computer Science(), vol 4830. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76928-6_48
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DOI: https://doi.org/10.1007/978-3-540-76928-6_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76926-2
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